- General OCR
- Handwriting Fonts Recognition
- TH-OCR SDK
- Arabic OCR
Function Introduction
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Support Multiple Image Capture Methods
Mobile phones, tablets, scanners, high-speed cameras, digital cameras, etc capture the image and can be recognized
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OCR Recognize Multiple Languages
Support OCR recognition of more than ten languages, including English, traditional and simplified Chinese, Japanese, Korean, Tibetan, Uyghur, Kazakh, Arabic, Kirgiz, Chinese and English, etc.
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OCR Recognize Multiple Documents
Support common document recognition, natural scene text recognition, general form recognition, long Weibo recognition
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Read Multiple Format
Support TIFF、PDF、BMP、JPG、PNG format image reading
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Powerful Image Processing
Automatically tilt rectification , rotate , remove underline , filter image pink and red interference background color
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Export Multiple Format
Support export TXT, WORD, XML, XLS, double-layer PDF and other format files, can edit the recognition results, support GB_2312 code (used in mainland China), BIG_5 code (used in Taiwan) and other internal code output
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Flexible Platform
Support both integrated use at mobile terminals and privatized deployment at Windows and Linux servers
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Provide Multiple API
General OCR recognition SDK supports C, C++, VB, VC, JAVA, Delphi development language interface calls, back up development example to convenient user direct to quote .
Product Superiority
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Image Layout Analysis
- Support automatically image layout analysis, distinguish horizontal and vertical version characters
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Intelligent OCR Recognition
- Online recognize the text characters location and font size, can recognize multiple page PDF files
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Support Uncommon Word Recognition
- High Accuracy Recognition a various of uncommon words
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Ensure Data Security
- Deploy with enterprise intranet to meet users' requirements for data security
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Fast OCR Recognition
- Single image can be recognized within a second, recognition accuracy is as high as 99%
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Wide Range of Application
- State Intellectual Property Office, Geological Survey Bureau, etc., have integrated Sinosecu OCR text recognition into enterprise application system
Application Scenarios
- File Digital Processing
- Photo/Screenshot Recognition
- Content Supervision And Review
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File Digital Processing
Our OCR text recognition system can be connected with business systems such as information service systems, smart office systems, and file digitization systems which can be applied to the management and digitization of large amounts of data files. By scanning corporate paper files, you can export double-layer PDFs, TXT, WORD, XML, XLS and other format files are convenient for enterprises to edit and find file information, realize digital file management, and improve efficiency and intelligence.
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Photo/Screenshot Recognition
Our Text Recognition Technology can realize photo text recognition, photo album photo text recognition and screenshot text recognition, which can be used in mobile applications such as text conversion, search, translation, etc., to meet the needs of users for text extraction and entry so as to improve user experience in using products.
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Content Supervision And Review
Our Text Recognition Technology can be applied to advertising review platforms, public opinion monitoring and other platforms, it can extract text content in images, combine text review technology automatically to identify illegal content, also our product provides risk warnings, and it will assist in dealing with violation processing. It can be applied to e-commerce scenarios such as advertisement review so as to avoid business risks effectively.
Case
Online experience
General OCR Distinguish
The recommended: size of the image is about 200KB, and the bit depth is more than 24Recommended resolution of scanned image: 300dpi, less than 3m.
- Document identification
- Result
- JSON Data